Battery production requires a highly complex manufacturing process chain consisting of different process steps. Both product and process parameters deviate throughout the whole process chain. Shape and scale of those distributions heavily affect subsequent process steps and final battery quality. Multi-level Simulation can be used to predict the impact of different distributions. In the paper, a concept is presented describing how process parameters and its distributions influence structure of intermediate products, which in turn affect battery performance. The former transition is realized through an agent-based process chain model approach while the latter uses an extended pseudo-2-dimensional battery model.
|Number of pages||6|
|Publication status||Published - 1 Jan 2018|
|Event||51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden|
Duration: 16 May 2018 → 18 May 2018
Conference number: 51
- Manufacturing system
- Statistical process control